{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This allows multiple outputs from a single jupyter notebook cell:\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pandas      version: 1.0.3\n",
      "mplfinance  version: 0.12.5a0\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import mplfinance as mpf\n",
    "import io\n",
    "print('pandas      version:',pd.__version__)\n",
    "print('mplfinance  version:',mpf.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "# Saving your plot to a file (or to an io buffer):\n",
    "\n",
    "- `mplfinance.plot()` allows you to save your plot to a file, or io-buffer, using the `savefig` keyword.\n",
    "- The value of `savefig` may be a `str`, `dict`, or `io.ByteIO` object.  \n",
    "  - If the value is a `str` then it is assumed to be the file name to which to save the figure/plot.\n",
    "  - If the value is an `io.ByteIO` object, then the figure will be saved to the io buffer object.  This avoids interaction with disk, and can also be useful when mplfinance is behind a web server (so that requests for an image file can be serviced without going to disk).\n",
    "\n",
    "If the file extension is one of those recognized by `matplotlib.pyplot.savefig()` then the file type will be inferred from the extension, for example: `.pdf`, `.svg`, `.png`, `.jpg` ...\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/SP500_NOV2019_Hist.csv',index_col=0,parse_dates=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%%capture \n",
    "## cell magic function `%%capture` blocks jupyter notebook output,\n",
    "## which is not needed here since the plot is saved to a file anyway:\n",
    "mpf.plot(df,type='candle',volume=True,savefig='testsave.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### We can use IPython.display.Image to display the image file here in the notebook:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import IPython.display as IPydisplay"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-rw-rw-rw- 1 dino dino 24877 Jun  7 17:52 \u001b[0m\u001b[01;35mtestsave.png\u001b[0m\r\n"
     ]
    },
    {
     "data": {
      "image/png": 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kSc8//7zWrl2rxx57TMOHD9df/vIXZWdnSxIhBIDXazzysX7DBiUlDerQtoWFB5WRnt7q0RMAgHEIIJ1QW1ur7du3a9asWZo8ebIkKSYmRpmZmZo/f74OHTqkbt26acuWLdq4caNee+01ffLJJ8362bp1q06cOKFXX31V/fv3lyQtXrxYH330kd544w1dd911+uabb/TSSy9pxowZuvXWW+3PVVRUpLVr1yojI0PdunUzbucBwE2SkgYpOTnZ3WUAAC4RAaQTAgIClJ+f32y5n1/Dtf2BgYGyWCzavHmzwsLCWu3n9ttv17hx42SxWJr0ERERoerqaknS/v37VV1drdGjRzfZNjU1VWvXrtX+/ft1zTXXOGO3AOCSOLo+w2SSyktCdLy0QjZby9tzjQYA+AYCiJMVFBQoLy9PY8aMUVJSUru2CQoKahI+JOnEiRMqLCzUrFmzJElWq1WSdPnllzdp1/j9kSNHCCAA3Ka912e0pStco1FXV2vodgDgawggTvL0009r/fr1qqurU1pamhYsWHDJfV24cEHz5s1TWFiYMjIyJP3r3OeePXs2aWs2m5usb4nJ1PDwRI11e2r9aBtj7B2qqtq+PiPA30+1dfUtrmu8RqOqqrLV94Iz3iOOfh82/j49d+5sp57DbDb77Pu5sz/PznrdPPnvnidw5e9txs03EECcZObMmZoyZYoKCgq0YsUKWa1WrV27Vv7+/h3qp7KyUvfdd5/+/ve/65VXXtFll13W6dpio8OaBRdPExvd+ils8A6MsWcrLwmRJA3+3vcu6fqMAP+GU1f7R4Yorl/L74XG5wjw97O3d2b/cf2G6/Dhw6qoqGhx/cGDBzVt2jRt3LhRgwa1HLJCQkJ05ZVXdqg2b3SpP8+dGePG7STH4wznccXv7aqqQKf3ia6HAOIk4eHhCg8PV0JCgmJjY3X77bfrww8/1MSJE9vdR2lpqWbPnq2ysjJt3LixySlcISENv5QrKysVHBxsX9545CM0NLTVfq0nyhUcfLGju9QlmEwNv+CsJ8pbPW8cno0x9g7HSxs+tNfW1bd6lMPREZDG5cdLKxRWXH7Jz9Ga9vQvSf7BEQoLjmhxXcg/nz+kd3+FWeJa7eOIg/69XWd/njszxo3bNfbjaJzROa78vV1dXeXcDtElEUA6oaysTJ999plSUlIUEfGvP1gDBw6UJBUVFbW7r/Lycs2YMUM2m03/8R//oejo6Cbr4+Ia/tgdO3ZMkZGR9uWN14YkJCS02rfNJo//YOcN+wDHGGPP5qyxc/Q+cMZzdOZ91ridq96rpSWn9MZr63RX2gxFWvo6/wkMdKmvkRHvIziPK15nxs03dPz4JuwuXLigrKwsvfvuu02WFxYWSlKzC8tbY7PZNHfuXNXW1mrjxo3NwockDR8+XCEhIdq5c2eT5Tt27FBYWJiuvvrqS9wLAEBXUFpaotUrc1VaWuLuUgDApTgC0glRUVG67bbbtGbNGoWHhyslJUXFxcVatmyZIiIiNH78eFVVVdlvpXv+/HnV19fr9OnTkqTu3bsrJCRE27Zt05/+9Cc9//zzTdY3ioiIUFBQkH72s59p5cqVGjhwoFJSUvSnP/1Jv//977Vo0SIFBnLOJADfUFh40JBtAACuQQDppKVLlyoyMlJ5eXkqKSlRnz59NHz4cGVlZSk0NFSrV6/Wc88912SbxpnNp0yZouXLl+vTTz+VJP385z9v8TkOHTokSbrnnnvk5+en5557TqdOnVJ0dLQWLVqktLQ0F+4hAHQNjXepykhP73Qf6NouNTASNAHPQADppKCgIGVlZSkrK6vF9ZmZmcrMzHTYx5NPPqknn3yyXc83Y8YMzZgxo6NlAoDHGxAbrx2797V62/GiLw5r3tw5embVWsUnDGy2nokOuz5nhMxv9wOgayKAAAA8RnsCRHzCQA0eMsyAauBsbYXM9iBoAl0fAQQAAHQZhAfA+3EXLAAAAACGIYAAAAAAMAwBBAAAAIBhuAYEAACDHLUWObyL17e/toQLrAF4AwIIAAAGOGot0o2pI9psN2/uHIfrd+zeRwgB4NEIIAAAGKDxyEdoaC/5+3f8z29dXa3OnTvbqVvUAkBXQAABAMBA/v4BCgwMdHcZAOA2XIQOAEA7REZalJm1QJGRFneXAgAejSMgAAC0Q6Slr+5/cKG7ywAAj8cREAAA4BSlJaeUk5Oj0pJT7i4FQBdGAAEAAE5RWlqipUuXqrS0xN2lAOjCOAULAOAVuEbDGI7mMjlS9K+5TGy2lrdnLhMABBAAgFfgGg3Xa+9cJg9mMpcJgNb5dACpqalRUFCQu8sAAMAjtDmXiUny9zOprt4mtXAEhLlMAEg+dg1IfX29Nm3apOnTp2v48OG6+uqr7evmzZun0tJSN1YHAAAAeD+fOQJy/vx5zZ49W/v27ZMk2Ww2mUwmSVJVVZW2bt2q/fv3a9OmTYqIiHBnqQAAdElms1mSdO7cWaf0A8A3+UwAWbNmjf785z/LZDJp2LBhOnDggGprayVJ1dXV6tatm06dOqW8vDxlZ2e7uVoAAJyvtOSU3nhtne5Km6FIS98Obz8gNl47du9zeBH6g5lztGL1WsXFD2yxDRehA/CZALJt2zaZTCatWrVKN910k0aNGqWzZxv+ByciIkIbNmzQT37yE3388cdurhQAANcoLS3R6pW5GnfThEsKIJIchod/nlig+ISB+t7gYZfUPwDv5zPXgJw6dUrdunXTTTfd1OL6YcOGqUePHlwHAgAAALiQzxwB6dmzp86ePavS0lJFRkY2W3/gwAF988036tWrlxuqAwD4irq6Wpdu52iejqIvDjf52hJOkQLgaj4TQK6++mrt2rVLc+bM0YwZM+zXf+zevVuFhYXasGGDTCaThgwZ4uZKAcBzFRYebHVdgL+fauvqO7ydtzDiAu72ztMxby7zdABwH58JIDNnztTu3bt16NAhLVq0yL783nvvldRwVyw/Pz/Nnj3bXSUCgMdq/FCckZ7ulH68UVsXcBd9cVjz5s7RM6vWKj7h0i7gbnOejjYwTwcAI/hMAElJSdHy5cu1dOlSVVVVNVsfHBysJUuWaOTIkW6oDgA8G3dHap/27F98wkANHtK5C7j9/QMUGBjYqT4AwFV8JoBI0i233KLRo0fro48+0uHDh1VVVSWz2azExESNGzdOISEh7i4RADwWd0cCALSHTwUQSerVq5duu+02d5cBAAAA+CSfuQ2vJF24cEG/+c1v9PzzzzdZfvfdd+uJJ57QuXPn3FQZAAAA4Bt8JoB88803uvPOO/XCCy/o1KlTTdZ9/fXXeu211zR16tQWrw8BAAAA4Bw+E0BeeuklHTx4UDabTT169GiyzmKxyGazqaioSC+88IKbKgQAAAC8n88EkD/84Q8ymUxasmSJHn744SbrXnjhBT366KOy2Wz68MMP3VQhAAAA4P18JoCcPHlS3bp1U1paWovrp06dqqCgIJ04ccLgygDA+0VGWpSdna3ISIu7SwEAuJnPBJCePXvqwoULrQYMq9WqmpoaBQcHG1wZAHi/SEtf5eTkKNLS192lAADczGduwzt06FB98sknuvvuuzV79mxdddVVMpvNOnv2rP7617/qpZdekslk0ve+9z13lwoAQKfU1dUauh0AdITPBJC7775bn376qY4dO6YlS5Y0W2+z2WQymZSRkeGG6gAA6Dyz2SxJOnfurFP6AQBX8JkA8oMf/ECLFy/W8uXLdfHixWbrAwICNG/ePI0ePdoN1QEA0HkDYuO1Y/c+VVZWtri+6IvDmjd3jp5ZtVbxCQNbbGM2mx3Oag8AneUzAUSS0tLSNG7cOG3ZskUHDhxQRUWFevbsqcTERN1yyy26/PLL3V0iAA9UWnJKb7y2TnelzeAaB7hde8JDfMJADR4yzIBqAKA5nwogktS3b1/NmTPHaf3V19dr3bp12rx5s44dO6YePXpo1KhRmj9/vvr162dvt3fvXj300EOSpD179jTr59SpU1q+fLn27NmjCxcuaPDgwXrooYf0/e9/396mpqZGK1eu1NatW1VWVqaYmBjNmjVLP/rRj5y2PwA6rrS0RKtX5mrcTRMIIAAAtMFrA8iJEyfk7+8vi8Vi/769oqOj2902NzdXmzZtUk5OjpKTk3Xs2DFlZ2crPT1dH3zwgfz9/bV69Wq98sor6tOnj86fP9+sj5qaGt19990KDg7WSy+9pG7dumnDhg265557tGXLFsXExEiSsrOzlZ+fr2XLlik+Pl67du3S4sWL1aNHD02cOLHdNQMAAADu4rUBZOzYsQoPD9fevXvt35tMpja3M5lMKigoaNdz1NbWavv27Zo1a5YmT54sSYqJiVFmZqbmz5+vQ4cOqVu3btqyZYs2btyo1157TZ988kmzfrZt26YjR47ogw8+UFxcnCRp6dKl+vTTT/Xiiy/qscceU3Fxsd555x0tXbpUY8eOlSRlZGTo888/17PPPksAAQAAgEfw2gAiNdzZytH3nRUQEKD8/Pxmy/38GqZXCQwMlMVi0ebNmxUWFtZqP5988omuuOIKe/ho7PsHP/iBdu/eLanhtC2bzaYbbrihybapqanaunWrvvzyS/uREgAAAKCr8toAcuuttza5jeCtt97ariMgnVVQUKC8vDyNGTNGSUlJ7drGarW2GB6uuOIKbd68Wd98842sVquCgoLsp5Q1arxw/siRIwQQAAAAdHleG0CWL1/u8Htne/rpp7V+/XrV1dUpLS1NCxYsaPe2VVVV6t+/f7PljQGqoqJClZWV6tmzp8M2rTGZGh6eqLFuT60fbfOGMf72PnjyfriSN4yzqxnxPnL1c/Cz4Btc+fPM+8Y3eG0A+a6srCzV19frN7/5jUuOhMycOVNTpkxRQUGBVqxYIavVqrVr18rf39/pz9VRsdFhLYYXTxIb3fopbPAOnjzG5SUhkqT+kSGK6+e5+2EETx5nVzPifeTq52jsv18EPwu+wBU/z1VVgU7vE12PzwSQTz/9VLW1tS47DSs8PFzh4eFKSEhQbGysbr/9dn344Yftujg8JCREVVVVzZZXVFTIZDIpNDTUYRtJCg0NbbV/64lyBQc3n3zRE5hMDb/grCfK5eRLeNBFeMMYHy+tsH8NKy53czVdkzeMs6sZ8T5y9XMUn66wf+VnwXu58ue5urr5Zx14H58JIBMmTNCmTZv00Ucfady4cU7ps6ysTJ999plSUlIUERFhXz5wYMPsskVFRe3qJy4uTvv372+2/OjRo+rXr5+6d++uuLg41dTU6OTJk4qKimrSRpISEhJa7d9mk8f/wfeGfYBjnjzGjXV78j4YhdeodUa8j1z9HBERFmVnZysiwsI4+wBXvI943/gGnwkgt9xyi77++mtlZWVpzJgxGjZsmMLCwux3rPq2W2+9tV19XrhwQVlZWfrlL3+p2bNn25cXFhZKUrMLxltzww036A9/+IO++OILe5CoqanRJ598Yj+Ccv3118vPz087d+5UWlqafdsdO3YoMTGxQ3OXAADgCpGWvsrJydGRYo50AWidzwSQ6dOnS2q4Fe/27du1ffv2FtuZTKZ2B5CoqCjddtttWrNmjcLDw5WSkqLi4mItW7ZMERERGj9+vKqqqlRdXS1JOn/+vOrr63X69GlJUvfu3RUSEqJ/+7d/06BBgzR//nzl5OTIbDbr+eef18WLFzVr1ixJDWFm6tSpWrVqlaKiopSYmKht27YpPz9fa9as6ezLAwAAABjCZwLIt+cAceZ8IEuXLlVkZKTy8vJUUlKiPn36aPjw4crKylJoaKhWr16t5557rsk21113nSRpypQpWr58uQICAvS73/1OTz75pGbOnKmamhp9//vf16uvvqq+ffvat1u0aJHMZrNycnJUVlam2NhYrVy5UmPGjHHa/gDoekpLTumN19bprrQZirT0bbN9V30OAAAkHwogTz75pEv6DQoKUlZWlrKyslpcn5mZqczMzDb76dOnj5555hmHbQICAhw+F+AKfDB1v9LSEq1ematxN01wXQAx4DkAAJB8JIDs27dPVqtV5eXl6t+/vyZMmMCkfUA78cEUAAA4k9cHkEcffVRvvvlmk2WrVq3S4sWLdeedd7qpKhKNhwEAACAASURBVAAw3lFrkSorK1tcV/TF4SZfW2I2mzUgNt4ltQEAfIdXB5Bt27Zp06ZNzZbX1tbq8ccf11VXXaWhQ4e6oTIAMNZRa5FuTB3RZrt5c+c4XL9j9z5CCACgU7w6gLz11luSpL59++ree+9VdHS0Dh06pJdeeknnzp3Txo0b9dRTT7m5SgBwvcYjH+s3bFBS0qAOb19YeFAZ6emtHkEBAKC9vDqAHDhwQCaTSatWrbIf6Rg9erQGDhyon/70p/rrX//q5goBwFhJSYOUnJzs7jIAAD6s+Sx8XqSiokLdu3dvdprVqFGj7OsBAAAAGMerA0h9fb26d+/ebHnjsvr6eqNLAgAAAHyaV5+CBQCepLW7VHGHKjhLZKRFmVkLFBlpcXcpAHyY1weQ2tpa7du3r8XZz1tbl5KSYlR5ACCpfXep4g5V6KxIS1/d/+BCd5cBwMd5fQCprKzU9OnTmy03mUwtrjOZTCooKDCqPACQ1Lm7VHGHKgCAJ/H6ANLSkQ8AxnI0Ad7XX3+l3I8/1DWjb9Zll/VusY0vnV7EXaoAAN7OqwPIlClT3F0C4PPaOwHe2rVrHa7n9CIAALyDVweQJ5980t0lAD6vPacWBfj7qbau5bvScXoRAADexasDCICuw9GpRY4CSFfh6DQy7lIFAED7EUAAoA3tPY2Mu1QBANA2AggAtKEzd6iSutZpZIWFBw3dDu3HHB0AfAUBBADayZPvUGU2myVJGenpTukHzsccHQB8BQEEAHzAgNh47di9z+F1LPPmztEzq9YqPmFgi224jgUA4AwEEADwEe0JD/EJAzV4yDADqgEA+CoCCAC0E9dPAADQeQQQAGgD108AAOA8BBAAaAPXTwAA4DwEEABer7TklN54bZ3uSpuhSEvfS+qD6ycAAHAOP3cXAACuVlpaotUrc1VaWuLuUgAA8HkEEAAAAACG4RQsADpqLXJ4fcO3v7akK1zf4A37AACALyCAAD7uqLVIN6aOaLPdvLlzHK7fsXuf2z7Ae8M+AADgKwgggI9rPGoQGtpL/v4d/5VQV1erc+fOtnr0wQiNz71+wwYlJQ3q8PaFhQeVkZ7u1n0AAMBXEEAASJL8/QMUGBjo7jI6JSlpkJKTk91dBgAAcIAAAkBSw5EMI7cDAAC+iQACn+aM+SE8XePs3OfOnXVKPwAAAI4QQODTGueHGHfTBJ8NIMzyDQAAjEQAAcAs350UGWlRZtYCRUZaOt1XYeFBQ7YBAMBdCCAA0EmRlr66/8GFneqj8RS2jPT0TvcBAEBXRgABXIhrTNBejk6F4zQ4AIA3IYAALsQ1JuiItgKEK0+Dc+ZpZAAAOEIAAQA45TQyAADaw8/dBQAAAADwHQSQTqqvr9fLL7+sSZMmaejQoRo5cqTuv/9+FRcX29vs27dPaWlpGjZsmEaMGKEHHnhAJSUlTfo5fPiw7rvvPl177bUaPHiwJk+erG3btjVpU1NTo9zcXKWmpmrw4MGaMGGC3n77bUP2EwAAAHAGTsHqpNzcXG3atEk5OTlKTk7WsWPHlJ2drfT0dH3wwQc6fvy4Zs6cqQkTJujxxx/X119/rdzcXM2aNUubN29WYGCgSkpKNH36dA0dOlQvvviievTooa1btyorK0v+/v66+eabJUnZ2dnKz8/XsmXLFB8fr127dmnx4sXq0aOHJk6c6OZXAnDM0a1iA/z9VFtX3+HtAACA5yGAdEJtba22b9+uWbNmafLkyZKkmJgYZWZmav78+Tp06JBef/11XXbZZXriiScUENDwci9fvlwTJkzQhx9+qEmTJmnnzp0qLy/X0qVLFR0dLUn6xS9+oa1bt+rdd9/VzTffrOLiYr3zzjtaunSpxo4dK0nKyMjQ559/rmeffZYAgi7LGbeX/XY/AADAsxFAOiEgIED5+fnNlvv5NZzZFhgYqE8//VSjR4+2hw9JiouLU//+/bV7925NmjTJvtzf379JP0FBQfZ/79mzRzabTTfccEOTNqmpqdq6dau+/PJLxcTEOGO30EFHrUUOZxH/9teWePvtU9uaaf1I0WE9mDlHK1avVVw8t5gFAMDbEUCcrKCgQHl5eRozZoxiYmJUWlqqyy+/vFm7K664QkeOHJEk3XzzzVq1apWeeuopPfbYYwoODtb777+vv//973rwwQclSVarVUFBQbJYmt4is7HvI0eOEEDc4Ki1SDemjmiz3by5cxyu37F7n1d/wHa0byZTw9f4hIH63uDO3WL2Uk/X4jQvAACMQwBxkqefflrr169XXV2d0tLStGDBApWVlUmSevbs2ay92Wy2X6geHh6uDRs26Kc//amGDx+ugIAAmUwm/epXv9Lo0aMlSZWVla32I0kVFRWt1mYy/etDnqdprNtV9X+7/0t5jqqqhv/VDw3tJf+Ajv841dXW6ty5s6qqquyyY2SxWDQ3a4EsFotLauzsGEjOPc2rK46DM14jd3P1zzK6BsbZN7hynHnv+AYCiJPMnDlTU6ZMUUFBgVasWCGr1aply5a1a9szZ87oF7/4ha644gr96le/UnBwsD766CNlZ2erV69e9ms+LlVsdFiL4cWTxEaHuaTf8pIQSVL/yBDF9ev4czRuHxQUqMDAwA5vf9HP1KnnN0JcvzCNSl7usv4bX8N+EZf+GsT1G67Dhw+3GsQPHjyoadOmaePGjRo0aFCLbUJCQnTllVde0vO7Wmffp12Jq36W0bUwzr7BFeNcVdXxv6XwPAQQJwkPD1d4eLgSEhIUGxur22+/XXv37pWkFs99r6ioUK9evSRJL730kr766itt3rzZHhSGDh2qL774Qk899ZTGjh2rkJAQVVVVtdiPJIWGhrZam/VEuYKDL3Z6H93BZGr4BWc9US6b7dL6sB4psh+p+K7GazM+3vsXHS9t+cNrz55mxca1fApR4zZ19Tb51Xe8wLp/bnO8tEJhxeUd3t4bFJ+usH/tzGvgHxyhsOCIFteF/HOcQnr3V5glrtU+jnTRMWh8n3ny+8QZP8vo+hhn3+DKca6ubv5ZB96HANIJZWVl+uyzz5SSkqKIiH998Bk4sOFC2uPHjysqKkr/+Mc/mm179OhRjRo1SpJUVFSkfv36NTtKERsbq127dslmsykuLk41NTU6efKkoqKimvQjSQkJCa3WabPJ4/8QXOo+tPcajQczL+0aDXtNtn8+Osr2r348fYwulc2A18CI53AlT6//27xhH9A2xtk3uGKced/4BiYi7IQLFy4oKytL7777bpPlhYWFkhrOnR89erQ++eQTXbz4ryMQBQUFOnHihP3UqujoaBUXF+ubb75p0k9RUZGioqJkMpl0/fXXy8/PTzt37mzSZseOHUpMTLTfvhdNNR59Cg7uqZCQ0A4/goN7NukHcIfISIsysxYoMtLSdmMAALo4joB0QlRUlG677TatWbNG4eHhSklJUXFxsZYtW6aIiAiNHz9e11xzjd577z098sgjuu+++1RRUaElS5Zo2LBhGjdunCTprrvu0ltvvaWHHnpI9913n4KDg7Vz507t2rVLDzzwgKSGMDN16lStWrVKUVFRSkxM1LZt25Sfn681a9a482Xo0hovTu7sId2uPAdFackpvfHaOt2VNkORlr7uLgcuEGnpq/sfXOjuMgAAcAoCSCctXbpUkZGRysvLU0lJifr06aPhw4crKytLoaGhCg0N1fr165Wbm6vJkyere/fuGjNmjBYuXGifLyQxMVEvvvii8vLyNG3aNF28eFGXX365Fi1apOnTp9ufa9GiRTKbzcrJyVFZWZliY2O1cuVKjRkzxl273+W1NQdF0ReHNW/uHD2zaq3iEzxzDorS0hKtXpmrcTdNIIAAAIAujwDSSUFBQcrKylJWVlarbYYMGaKNGzc67Oeaa67RNddc47BNQEBAm8+F5toTHuITBmrwkM7NQQEAAIC2EUAAD8Bs6wAAwFsQQIAujtnWAQCANyGAAF1c45GP9Rs2KCmp5Un0HCksPKiM9HTu5AUAALoEAgjgIZKSBik5OdndZXgkbmMLAEDXQQABPERh4UFDt/Mm3MYWAICugwACn+as/xmvq6t12XaNc5BkpKdf0nN8tx8AAAB3IoDAp3X2f8YbP9SfO3e2U3U4Cge+MJcJAADwHQQQoBOMCgfMZQIAALwFAQToJMIBAABA+/m5uwAAvi0y0qLs7GzuUAUAgI8ggABwq0hLX+Xk5CjS0tfdpQAAAAMQQAAAAAAYhgACuBAT4AEAADTFReiACzEBHgAAQFMcAQEAAABgGAIIAAAAAMMQQAAAAAAYhgACAAAAwDAEEAAAAACGIYAAAAAAMAwBBAAAAIBhCCAAAAAADEMAAQAAAGAYAggAAAAAwxBAAAAAABgmwN0FAEetRaqsrGxx3ddff6Xcjz/UNaNv1mWX9W6xjdls1oDYeFeWCAAAACchgMCtjlqLdGPqiDbbrV271uH6Hbv3EUIAAAA8AAEEbtV45GP9hg1KShrUYpsAfz/V1tW3uK6w8KAy0tNbPYICAACAroUAgi4hKWmQkpOTW1znKIBAioy0KDNrgSIjLe4uBQAAoE0EEMDDRVr66v4HF7q7DAAAgHbhLlgAAAAADEMAAQAAAGAYAggAAAAAwxBAAAAAABiGAAIAAADAMAQQAAAAAIYhgAAAAAAwDAGkk+rr6/Xyyy9r0qRJGjp0qEaOHKn7779fxcXF9jb79u1TWlqahg0bphEjRuiBBx5QSUlJs75ee+013XzzzRoyZIhuvvlmvf76603W19TUKDc3V6mpqRo8eLAmTJigt99+2+X7CAAAADgLAaSTcnNztXr1as2ePVtbt27VihUrdODAAaWnp6umpkZHjhzRzJkzFRMTo3feeUcvvPCCTpw4oVmzZunixYv2ftatW6df//rX+sUvfqEPPvhAd911lx577DG999579jbZ2dl65513lJOTo61bt+rOO+/U4sWLtW3bNnfsOgAAANBhzITeCbW1tdq+fbtmzZqlyZMnS5JiYmKUmZmp+fPn69ChQ3r99dd12WWX6YknnlBAQMPLvXz5ck2YMEEffvihJk2apOrqaq1evVr333+/fvjDH0qSZsyYob59+yo2NlaSVFxcrHfeeUdLly7V2LFjJUkZGRn6/PPP9eyzz2rixIlueAUAAACAjuEISCcEBAQoPz9fP//5z5ss9/NreFkDAwP16aef6rrrrrOHD0mKi4tT//79tXv3bknS3r17VVlZaQ8fjcaPH6/ExERJ0p49e2Sz2XTDDTc0aZOamqqjR4/qyy+/dPbuAQAAAE5HAHGygoIC5eXlacyYMYqJiVFpaakuv/zyZu2uuOIKHTlyRJJ08OBB9erVS19++aWmT5+ukSNHatKkSXr//fft7a1Wq4KCgmSxWJr009h3Y18AAABAV8YpWE7y9NNPa/369aqrq1NaWpoWLFigsrIySVLPnj2btTebzfYL1c+cOaPa2lrl5ORo7ty5ioiI0FtvvaV58+YpICBA48ePV2VlZav9SFJFRUWrtZlMDY+uyFl1deV9hGON48b4eTfG2Tcwzr7BlePMe8c3EECcZObMmZoyZYoKCgq0YsUKWa1WLVu2rF3b1tbWqqqqSgsWLNA111wjSRoyZIj+7//+T3l5eRo/fnynaouNDmsxvHQF5SUhkqQAfz8F+Ld+QK61dY3L+0eGKK5fmPMLhGFioxk/X8A4+wbG2Te4YpyrqgKd3ie6HgKIk4SHhys8PFwJCQmKjY3V7bffrr1790qSKisrm7WvqKhQr169JEkhIQ0fwocMGdKkzYgRI/Tqq6+qvr5eISEhqqqqarEfSQoNDW21NuuJcgUHX2x1vTsdL22ov7auXrV19S22CfD3a3Vd4/LjpRUKKy53TZFwKZOp4Y+Y9US5bDZ3VwNXYZx9A+PsG1w5ztXVzT/rwPsQQDqhrKxMn332mVJSUhQREWFfPnDgQEnS8ePHFRUVpX/84x/Ntj169KhGjRolSRowYIAkqby83H5KldQwx0hwcLD8/PwUFxenmpoanTx5UlFRUU36kaSEhIRW67TZ1GX/EDirrq68j2gfxtA3MM6+gXH2Da4YZ943voGL0DvhwoULysrK0rvvvttkeWFhoSTJYrFo9OjR+uSTT5rM+VFQUKATJ07Yb6d7/fXXy8/PTzt27GjSz/79++1hprHNzp07m7TZsWOHEhMTFR0d7fT9AwAAAJyNIyCdEBUVpdtuu01r1qxReHi4UlJSVFxcrGXLlikiIkLjx4/XNddco/fee0+PPPKI7rvvPlVUVGjJkiUaNmyYxo0bJ0nq16+f7rjjDj377LOyWCxKTEzUpk2bdODAAb344ouSGsLM1KlTtWrVKkVFRSkxMVHbtm1Tfn6+1qxZ486XAQAAAGg3AkgnLV26VJGRkcrLy1NJSYn69Omj4cOHKysrS6GhoQoNDdX69euVm5uryZMnq3v37hozZowWLlxony9EkpYsWaLevXtr+fLl+uqrrzRgwAC98MILSk1NtbdZtGiRzGazcnJyVFZWptjYWK1cuVJjxoxxx64DAAAAHWay2TjbzhtVVVXZryf566HjCg7umnfB+tv/fa5bJ96gP/33n5WcnNxiG0cXoe/fv18j/1+K3t22S4OHDHNlqXARk0mK6xemI8VctOrNGGffwDj7BleOc3V1lYYm9pekVqcggOfjGhAAAAAAhiGAAAAAADAMAQQAAACAYQggAAAAAAxDAAEAAABgGAIIAAAAAMMQQAAAAAAYhgACAAAAwDAEEAAAAACGIYAAAAAAMAwBBAAAAIBhCCAAAAAADEMAAQAAAGAYAggAAAAAwxBAAAAAABgmwN0FAJJUWHiw1XUB/n6qravv8HYAAADoegggcCuz2SxJykhPd0o/AAAA6NoIIHCrAbHx2rF7nyorK1tcbzJJ/SNDdLy0QjZby32YzWYNiI13YZUAAABwFgII3M5ReDCZpLh+YQorLm81gAAAAMBzcBE6AAAAAMMQQAAAAAAYhgACAAAAwDAEEAAAAACGIYAAAAAAMAwBBAAAAIBhuA2vA3V1dTpy5IiOHz+uqqoqBQQEqFevXoqLi5PFYnF3eQAAAIDHIYC04Ouvv9Zzzz2n999/X+fOnWuxzYABA5SWlqapU6fKz48DSQAAAEB7EEC+48yZM7rrrrt0/Phx2RzMfGe1WvWrX/1KH3/8sX7729/K39/fwCoBAAAAz0QA+Y7nnntOX375pSTpqquuUlJSkkpKSrR3715FRUUpIyNDJ06c0Mcff6yjR4/q008/1fr163XPPfe4ufKm6urq7P8+c+a0goOr3VjNpTOZJHNgjc6cOctM6F6KMfYNjLNvYJx9gyvHubq6yv7vb3+WgZexoYnRo0fbkpKSbK+//nqT5b///e9tSUlJtldeecW+bOXKlbbExETbpEmTDK6ybX/7299sknjw4MGDBw8ePDzy8be//c3dH6fgIly88B1nzpxRYGCg7rzzzibLJ02aJJvNpvfff9++bO7cuerWrZv9iAkAAAAAxzgF6ztCQkJUXl6uw4cPKzEx0b78888/lySVlpbal50+fVoXL15UaGio4XW2JSYmxv7vz/7nsIKDg91YzaUzmaTY6DBZT5RzON9LMca+gXH2DYyzb3DlOFdXV2vU9wdKavpZBt6FAPIdw4YN065du3TPPffoxz/+saKiomS1WvXWW2/JZDLZfxg+++wzPfroo7LZbLryyivdXHVz374oPjg4WMHBPd1YzaUzmaSePXsqOPgif8y8FGPsGxhn38A4+wajxpkb/HgvTsH6jrvvvlsmk0llZWX67W9/q+zsbK1bt04VFRWSpLS0NEnSiRMndOzYMZlMJs2aNeuSnmvdunUaPHiwsrKy2mxbU1Oj3NxcpaamavDgwZowYYLefvvtS3peAAAAwF04AvIdI0eO1BNPPKHly5fbQ4ck9erVS/PmzdPEiRMlSXFxcYqJiVFWVpZGjx7doecoLy/XwoULdeDAAXXr1q1d22RnZys/P1/Lli1TfHy8du3apcWLF6tHjx72mgAAAICujgDSgh/96EeaOHGi9u/fr7KyMoWHh+vqq69Wz57/Oo1p6NCh+q//+q9L6v/9999XdXW13n33Xd1xxx1tti8uLtY777yjpUuXauzYsZKkjIwMff7553r22WcJIAAAAPAYBJBW9OjRQ9dee22TZWfPntVXX32luLi4Ts1+Pnr0aN11113tPrdxz549stlsuuGGG5osT01N1datW/Xll19yoRYAAAA8AteAtKGyslIrV67U2LFjNWrUKE2aNMm+7s4779Thw4c73GdMTEyHLqyyWq0KCgqSxWJpsvzyyy+XJB05cqTDNQAAAADuwBEQB8rLy5WWlqYjR47I9p3bPFRUVOh///d/NW3aNG3atEkDBgxwWR2VlZVNTv9qZDab7bU4YjI1PDxRY92eWj/axhj7BsbZNzDOvsGV48x7xzcQQBxYtWqVioqK1L17d40bN047duxQTU2NJOnixYvq3bu3ysrKtGbNGuXm5rq52tbFRoe1GGA8SWx0mLtLgIsxxr6BcfYNjLNvcMU4V1UFOr1PdD0EEAd27twpk8mkl19+WcnJyRo1apQ9gISHh2vjxo2aMGGC9uzZ49I6QkJCVFVV1Wx545GPtiZCtJ4oV3DwRZfU5mpMauX9GGPfwDj7BsbZN7h2IsLmn3fgfQggDpw5c0bdu3dXcnJyi+tjY2PVvXt3lZeXu7SOuLg41dTU6OTJk4qKirIvP3r0qCQpISHB4fY2mzz+D4E37AMcY4x9A+PsG7raOE97IV9fVZ13Wf+9e3bXxnvHuKz/rsoV49yV3jdwHQKIA2FhYfrqq69ktVoVGxvbbP2ePXt0/vx59e7d26V1XH/99fLz89POnTvtEyFK0o4dO5SYmKjo6GiXPj8AAJ7sq6rzqglyfLZA5/o/57K+AW9EAHEgJSVFH3zwgTIyMvTjH//YfvrV66+/rkOHDmnLli0ymUwaPnx4h/otLy/XxYsNp0TV1dXpwoULOn36tKSG060OHz6s+fPn64knntCIESNksVg0depUrVq1SlFRUUpMTNS2bduUn5+vNWvWOHenAQAAABcigDjw05/+VB999JFOnz6t559/3r788ccflyTZbDYFBQXpvvvu61C/mZmZ+u///m/796dOndJHH30kSXryySfVr18/Wa1WVVdX29ssWrRIZrNZOTk5KisrU2xsrFauXKkxY3zvkC8AAAA8FwHEgcTERK1du1YPP/ywTpw40Wx9dHS0nnjiCQ0aNKhD/b766qtttjl06FCT7wMCApSVlaWsrKwOPRcAAADQlRBA2jBq1Cht375df/nLX3T48GFVVVXJbDYrMTFRw4cP79SM6AAAAICvIYC0Q0BAgEaOHKmRI0c2WV5XV6c///nPkhquFwEAAADgGAGkE86dO6fp06fLz89PBQUF7i4HAAAA6PI4f8gJbNy0GgAAAGgXjoB8R0sXm7fm3Dnu+w0AAAB0BAHkO8aOHSuTyeTuMgAAAACvRABpAadUAQAAAK5BAPmO3r17q6ysTIMGDVJiYqLDtjU1Ndq6datBlQEAAACejwDyHTk5OcrMzFR5ebmWLFmi4ODgVtt+/fXXBBAAAACgA7gL1nfcdNNN+vd//3edPHlSK1ascHc5AAAAgFchgLRgyZIlio+P186dO1VUVOTucgAAAACvwSlYLQgLC9P777/fZrvLLrtMhYWFBlQEAAAAeAeOgAAAAAAwDAEEAAAAgGEIIAAAAAAMQwABAAAAYBgCCAAAAADDEEAAAAAAGIYA4sCvf/1r1dbWOmxz/PhxTZ8+3aCKAAAAAM9GAHHgd7/7ne64445WJyN88803NXnyZO3bt8/gygAAAADPRABpQ2FhoW677TatX7/evuz06dO699579eijj6qqqkr+/v5urBAAAADwHMyE7kB2drZWrFihiooKLV++XB9//LHGjx+vZ555RufOnZPNZtPgwYP12GOPubtUAEAXNO2FfH1Vdd5l/ffu2V0b7x3jsv4BwBUIIA7cdddduummm/TEE0/oP//zP/XHP/5Rf/zjH2Wz2WQ2m/XAAw8oLS1NJpPJ3aUCALqgr6rOqyYo1IX9n3NZ3wDgKpyC1YY+ffro8ccf19VXXy1JstlsMplM+vnPf65p06YRPgAAAIAOIIC0Ydu2bZo4caI+//xz2Ww2BQQEyGaz6amnntLMmTN17Ngxd5cIAAAAeAwCiANz5szRvHnzdPr0aQUFBenhhx/Wxx9/rBtvvFE2m0179+7VD3/4Q+Xl5bm7VAAAAMAjEEAc2L17t2w2m6666ipt3rxZ6enp6t27t5577jnl5uYqNDRUFy5c0OrVq91dKgAAAOARCCAO+Pv762c/+5k2bdqk+Pj4JusmT56s9957T9ddd52bqgMAAAA8D3fBcuCNN97Q0KFDW10fGRmp3/3ud3rzzTcNrAoAAADwXBwBccBR+Pi2O+64w8WVAAAAAN6BAAIAAADAMAQQAAAAAIYhgAAAAAAwDAEEAAAAgGEIIAAAAAAMQwBphz179mjhwoW65ZZbmsz7sWLFClVWVrqxMgAAAMCzMA+IA3V1dZo/f762bdsmSbLZbDKZTJKk8/+/vTuPjqq+/z/+ujMhITuEhGDCIrSyCMFgWUQUKGERtGFxFwraWreK1Kq41e/BpYh6gAMiyiaCBNuiSBVBIdEjKIKtYAVZVAxLAAGDIckkk2Qy9/cHvxkJ4JBA5k5m5vk4h3M4M5Ob9807k7mvez+fz3U6NXfuXK1bt05LlixRXFxcIEsFAAAAggJXQHx47bXX9N5778k0TSUnJ8tut3ufO378uCRp165dmjNnTqBKBAAAAIIKAcSH5cuXyzAMPfbYY1q/fr3i4+O9z6WmpmrWrFkyTVNr1qwJYJUAAABA8CCA+LB//35F/HlZ7QAAIABJREFURkZq7NixZ3x+4MCBio6O1sGDBy2uDAAAAAhOBBAfoqKiVFVVpZKSkjM+v2/fPpWXlysqKsriygAAAIDgxCR0Hzp37qxNmzZpwoQJuvvuu2WapiRp9+7d2rVrl2bNmiXDMNSpU6cAVworjZnzkQodTr9tv1lsYy2587d+2z4AAEAgEUB8GDNmjDZu3KjPPvtMn332mffxa665RtLPq2KNGTMmUCUiAAodTlVGJvhx+8V+2zZQn+oaxg3D8J7IqQ3COACEJgKIDwMHDtT999+vmTNnqrq6+rTnbTab/vznP2vIkCEBqA44d1zFQX0gjAMAzgUB5CzuvPNODR48WCtXrtQ333wjh8OhuLg4tW/fXldffbXatm0b6BKBOuPAEQAABAoBpBbatm2r8ePH1/t2ly1bpoULF2rfvn1q2rSprrnmGv31r39Vo0aNTnttQUGBsrKyzrid0aNH6//+7//qvT4AAACgvhFAasHhcOjAgQMqLi7+xfHLPXr0qNM2V6xYoSeeeEKPPPKIsrKytGvXLj3xxBMqKyvTk08++Ytf9+KLL6pbt241HouOjq7T90bD5+8hUs6qatki/bZ5AACAX0QA8aGoqEjPPPOMPvjgA7lcrl98nWEY2r59e522PWvWLF199dW69dZbJUmtWrXSjz/+qCeffFL33HOPUlNTz/h1iYmJSklJqdP3QvDx9xAps/Inv20bAADAFwKID3/729+Ul5dXp1VbamPPnj3av3+/7rvvvhqP9+3bV263W+vXr9d1111Xr98znHD1AAgd/nw/s1gCAAQGAcSHTz/9VJKUkJCg/v3764ILLjjj/Iy6ys/PlyS1bt26xuOe7X///ffn/T3CGVcPgNDhz/dzoaOYExYNgBWr8gFoWAggPkRGRqqiokL/+te/dOGFF9bbdktLSyVJsbGxNR43DEOxsbHe58/kvffe09SpU7Vv3z41adJEo0aN0q233qrIyF/+hDOME/8aitFzPlJhqf/uHcAHfsNQ2985z+sa0u8owkconLBoSO+dc3k/h8qqfA2pD/7mz7/b4fRzDGcEEB8GDhyof//730pI8N8fxtqy2+1KTk6W0+nUxIkTFRMTo08++UQzZ87Unj17NHny5F/82rZpTU4LO4F0zFER9B/4/mSEwF9fwzDULr1Jnb6mbVrdXo/A8/fvarBv3wrn8l6zQl3ez6HQ54baB3/zx99th+P8R5qg4SOA+PDEE0/I6XRq3Lhxuvvuu9W+fXvFxMSc8bVpaWm13q4n0Jx6pcM0TTkcjjMGngsuuMA7JMzj4osvlsPh0CuvvKJ77733F2vIP1ikmJiqWtfnb/U9pybUhMLPxzRNfX+gqFavNYwTH2L5B4sUArseVvz9uxrs27dCXd5rVjiX93Mo9Lmh9cHf/Pl3u6zMUb8bRINEAPHBMAzFxcUpPz9fDzzwgM/X1WUVrHbt2kmS9u7dW2NJ3YKCAlVVVenXv/51rbfVqVMnSdLhw4d/MYCYpjiwg+Xq+jvH7ylwbka/4v85FHWdrB+O7+dw21/JP30Ox59jOCKA+PDUU09p+fLlkur3DEqrVq3Url07ffTRRxoxYoT38by8PEVEROjKK6887Wtyc3OVm5urZ555RhERP7dt69atstlsp01oBwCEh1CZQwEgfBBAfPAswWu325WRkaH09HSfk73rYsKECfrLX/6ihQsXavDgwdqxY4deeukljR07Vs2aNdNXX32liRMn6plnnlH37t2VmpqqlStXyuFw6M4771R8fLzWr1+vxYsX67rrrlOzZs3qpS6gPjirqjV02upav76uCw2wfCoAAMGLAOKDy+WSYRhatGiRunfvXq/bvuqqq/T8889rzpw5mjp1qpKTkzVu3Djdc889kqTy8nLl5+errKxMkpSRkaGFCxdq9uzZuv3221VaWqr09HTde++9+uMf/1ivtQHnyzTFGdla4B4XAIBwRADx4fLLL9dHH32kjIwMv2w/Oztb2dnZZ3yuV69e2rVrV43HevTooYULF/qlFgDW8/c9LgAAaIgIID5MmjRJhw4d0kMPPaQHH3yQeRZAGOHmaAAA+AcBxIeHHnpIERERysvL09q1axUXF3fGJXINw1Bubm4AKgTgL0zsBQDAPwggPnz66afeGxiZpqmSkhKVlJSc9rpQuJkVAABn4u9FJZxV1bLVz/ouAVPXn1FdMacLoYYA4kNdbi4IAA2Nv4eRhcKBI87O34tKmJU/+W3bVmHhDaBuCCA+fPjhh4EuAQDOmb+HkYXCgSMAwHq2QBcAAAAAIHxwBcSHFStW1Pq1J9/RHAAAAMCZEUB8eOSRR2o1wdwwDAIIAAAAUAsEkLOoy0oeAKzDBGsAAIITAcSHZ5999oyPHz16VOvXr9eOHTs0fvx4devWzeLKADDBGgCA4EQA8WHkyJG/+Nwdd9yhadOmadq0aXr11VctrAoAAAAIXqyCdR5GjhypiooKTZs2LdClAAAAAEGBAHIePv/8c0nS9u3bA1wJAAAAEBwYguXDrFmzzvh4ZWWlvv32W61fv16SFBMTY2VZAAAAQNAigPgwa9Ysn8vwelbIGjp0qFUlAQAAAEGNAHIWvpbhjYyM1KhRozRx4kQLKwIAAACCFwHEh8WLF5/xccMwlJiYqJYtWzL8CgAAAKgDAogPPXv2DHQJAAAgzDmrqjV02mq/bb9ZbGMtufO3fts+cCoCyEkOHjx4zl+blpZWj5UAAACcYJry641XCx3Ffts2cCYEkJMMGDDA56TzX2IYBkvxAgAAALVAADmFr0nnAAAAAM4PAeQkI0eODHQJAAAAQEgjgJzk2WefDXQJAAAAQEgjgNSSy+XSnj17VFJSooSEBLVr1+6c5osAAAAA4YwAchbFxcV64YUXtHLlSjmdTu/j8fHxuuGGGzR+/HhFRUUFsEIAAAAgeBBAfHA4HBo9erS+++670yanFxcXa8GCBdq8ebMWLVqkRo0aBahKAAAAIHjYAl1AQ/baa6/p22+/lWmaatGihbKyspSdna3+/fsrMTFRpmlqy5YtWrp0aaBLBQAAAIICV0B8WLNmjQzD0Lhx4/Twww/XmPNRUVGhp59+Wm+++abeffddjRs3LoCVAgAAAMGBKyA+7Nu3T3a7Xffff/9pE86joqL06KOPyjAMff/99wGqEAAAAAguBJBa+KXVriIjIxURESG3221xRQAAAEBwIoD40LJlS1VXV2vBggVnfH7hwoWqqqpSy5YtLa4MAAAACE7MAfFh8ODB+vbbbzVz5kx9+OGHuvTSSxUXF6fjx49r06ZN+u6772QYhoYMGRLoUgEAAICgQADx4bbbbtPKlSu1d+9ebdu2Tdu2bavxvGmaatu2rW677bYAVQgAAAAEF4ZgncLhcHj/HxcXp5ycHA0aNEiGYcg0Te8/wzA0ePBgvf7664qLiwtgxQAAAEDw4ArIKfr06eO938eVV16p5ORkvfjiiyosLNS2bdtUXFyshIQEdenSRc2aNQt0uQAAAEBQIYCcwul0atWqVVq1apWSkpI0bNgwDR8+XF26dFG/fv0CXR4AAAAQ1BiCdQrPHc5N01RhYaGWLFmi66+/XkOHDtUrr7yiAwcOBLpEAAAAIGgRQE7x2WefafHixRo7dqzS09O9YSQ/P18zZszQoEGDNHr0aC1btkwlJSWBLhcAAAAIKgzBOoXNZlPPnj3Vs2dPPfbYY9q5c6dyc3OVm5urnTt3yjRNffHFF9q8ebOefvpp9e/fX9nZ2Ro4cGCgSwcAAAAaPALIWXTs2FEdO3bUvffeqwMHDmjt2rX66KOP9MUXX6iyslJr1qxRbm6utm/fHuhSazBN0/v/srKyAFZyOneVU25F+nX7RqUzqLcviZ/RWbYvBf/PSPLfPvAzCvz2Pd8jmH9Gnu/B34uzf49g/xmVlTnO/sL/zzAkh6ORysocOulwo16cfMxi1vfG0WAYJt2ts0OHDmnNmjVasGCBjhw5IsMwtGPHjkCXVcORI0eUmpoa6DIAAADOyeHDh9W8efNAlwE/4ApILe3cuVNr167V2rVr9e2330r6OZknJCQEsjQAAAAgaHAFxIf//ve/3vkfntWvPD+uiIgI9evXT8OHD1f//v0VGem/S7vnwu1268cff5QkxcTEyDCMAFcEAADgm2ma3mFYycnJstlYLykUEUBO8fHHHys3N1cffvihjh07JqnmGMTMzExlZ2dr2LBhatKkSaDKBAAAAIISAeQUHTt2lGEYNUJH69atlZ2drezsbLVu3TqA1QEAAADBjTkgZ2CaphITEzV06FANHz5c3bp1C3RJAE5hmiZDC4EQwHsZCD8EkFMMGjRIw4cPV79+/dSoUaNAlwPgF3gOWNxuN2OEQ1BZWZk+/vhjZWVlNbg5dvAP3stA+GAIFkKC2+2W2+1WRASZOpSVlZVpxYoVOnDggJo1a6arr75aqampHLiEmNLSUmVlZWnUqFF6+OGHA10O/KC8vFw5OTkqKChQXFycbr75ZqWnp/NeBsIEAQRBr6ysTBMnTtTIkSPVt29frlyFqNLSUl177bVKSUnRkSNH5HA4lJqaqnnz5qlZs2aBLg/1pLS0VNnZ2crIyNCMGTMCXQ78oLS0VDfccIOaNWumoqIiHT16VKZpatmyZcyzBMIEpxkQ9BYvXqzc3FxNnTpVmzZtUnV1daBLQj2rrKzU3XffrS5dumjOnDlatWqV7rvvPv3www/asmWL93WcTwlupaWl+t3vfqcuXbp4w8eZ3s/0OXhVVVXpwQcfVPv27TV37lytWLFCkydPVmxsrKZOnaqqqqpAlwjAAgQQBL3Dhw+rZ8+eatKkiR555BF99tlncrlcgS4L9Wj79u0qKirSXXfdpdjYWEVERGjkyJFKTEyUdOIqWHl5+Wkr2CF4OJ1ODRs2TBkZGZo5c6akE8HTbrdLko4dO6aDBw+qtLSUPgexH374QQUFBbr22msVHR0tu92uAQMGqHfv3tq5c6fcbnegSwRgAQIIgl5hYaEGDBigF154QampqXrssce0ceNGQkgI+eGHH7R3794aZ8PdbrcqKys1f/58XXPNNbrxxhu1efNmGYbBQUwQ2rFjh3766SfZ7Xa53W6ZpqnIyEhVV1dr4sSJuv322zVy5EjdeOON2rJlC30OUiUlJcrPz1dFRYUkea949OrVSw6HQ0VFRYEsD4BFCCAIWp6DlMaNGyslJUXp6emaMmWKWrRo4TOEcOY0+GRmZiomJkazZ8/Wxo0blZ+fr1tuuUVNmzbVLbfconHjxik6Olq33367du/ezSTWIJSRkaGXXnpJGzZs0H333edd5WzcuHEqKChQdna2xowZI7vdrjvuuEN79uyhz0GodevWatKkiSorKyXJO2fP7XbL4XAEsjQAFrJPmjRpUqCLAGrLc8bT7XbLbrfLMAz99re/Vdu2bRUREaGkpCR169ZNmzZt0jvvvKP27dsrLS3NO4zj+PHjaty4cSB3AbVwcp9tNpvi4uKUnJysN998U6tWrVJeXp5M09Srr76qzMxMZWZmqn379vrkk0+0e/duZWVlyWazcW+BIOB2u2UYhmw2m1q1aqUOHTrotdde01dffaXjx4+rtLRUzz77rHr37q1evXrpwgsvVF5enpxOp6644gpJos8NWHV1tYqLi1VRUSGbzabo6GhlZ2crMzNT0s/3ANmxY4f+85//aPTo0YqJifF+/c6dOxUbG8viIkCI4fQRgkZpaakeeugh/eEPf9A111yjl19+WVu3blVERISioqK8BzIXXXSRJk+erNTUVD3++OPauHGjJOm5557TiBEjVFlZyVWQBuxMfd61a5dGjBihNWvW6O2331bv3r3VuXNnJSUleYdwXHLJJWrTpo2cTqciIyM5KG3gysvLvVcxPEPrbDabrrzySr3wwgv68ssvNX36dGVmZqpp06be92zv3r2VlJSk48ePEzIbuNLSUt1///36wx/+oMGDB2vKlCn65ptvlJKS4n2N52RDUVGR4uLi1KRJE+9zL7zwgv74xz96h2sBCB0EEAQFh8OhESNG6Pjx4+rdu7cyMzOVk5OjBx98UGvWrJF04uDF82F20UUX6e9//7tSU1M1adIkTZgwQf/85z81ffp0Dk4bsDP1ecmSJbrvvvu0atUqxcbGKi0tTQUFBfrpp58knRjC4RlqFxcXp5YtW6q6upqQ2YBVVlZq+PDhuuqqq7Rz507Z7fYaIeSKK67Q008/rW7dumnQoEEyDEOGYaiqqkpOp1PNmzdXu3btJDGksqEqKyvTTTfdJJfLpVGjRmnIkCH617/+pUWLFqm4uNj7Os/VabfbLZfL5f09mDlzppYuXaqXX365RigBECJMIAhMnjzZ/P3vf1/jsQ8++MAcM2aMefHFF5vvvPOO9/Hq6mrv//fv329mZmaaPXr0MLdv325ZvTg3Z+vzihUrTNM0zTfeeMPs0KGDOW3aNNM0TfPIkSPm9OnTze7du5vfffed5XWjboqLi82srCyzT58+5m9+8xtz27Ztpmmapsvl8r7G5XKZTqfTNE3TLC0tNU3TNMvKyswZM2aYl112mblnzx7rC0etPffcc+a4ceNqPDZt2jTzkksuMffu3Xva63Nycsw+ffqYLpfLfPHFF82MjAxz69atFlULwGrcNhpB4dChQ2rZsqWkE2dPIyMjNXjwYKWkpGj27Nl6+OGHFRkZqSFDhshms3nHFb/99tsyTVM5OTm66KKLArwXOJuz9fnRRx9VfHy8RowYof/973+aO3eucnJy1KJFC5WUlOi1117Tr371qwDvBc5m+/btKi0t1eOPP66FCxdq3LhxWrRokTp37qzq6mrZ7Xbvv6NHj+rll1/W119/rZiYGO3evVsLFixQmzZtAr0b8KGgoEDp6emSfn4v33TTTXr11Ve1efNm7w0HPX+rmzdvrsjISD300EPKzc3V0qVL1aVLl0DuAgA/IoAgKBiGoW3btkmSIiMj5XK5FBERoW7duunPf/6zKioqNHXqVKWlpSkjI0OGYSgnJ0cvvfSS3nrrLcJHkDhbn51OpyZPnqx58+bp8ccf17XXXqtPP/1Ubdq0Uffu3b3hBQ1bRUWFYmJiNHjwYCUmJmrq1Kk1Qohn8QGPX/3qVzp69Ki6dOmiSZMmET6CQFFRkfLz8yX9vNJVSkqKoqKiaszp8AyH7d69u44ePar3339fb731ljp16mR90QAswypYaNA8Z8eqq6u1Zs0auVwude/eXTabTS6XSzabTS1atFB8fLzy8vIUExOjXr16SZLi4+N18803q2PHjgHeC5xNbfuckJCgvLw82e129e3bV2lpabrsssvUsWNHJSQkBHo3UEtt2rRRSkqKOnXqpDZt2ig9PV3btm3T4sWL1adPH6Wmpnr7Hhsbq65du2rYsGHq3r078wEaOM97ubS0VBkZGeratasMw5DL5VJ5ebkWLVqkq6666rSTQp7l1CdOnMgJIyAMEEDQoHnOjqWmpurzzz/Xhg0blJSUpA4dOtQ4OG3Xrp327duntWvXavTo0TIMQ02bNlVSUlKA9wC1UZc+79+/39tn7gMRfDyr1f3617+WdKL3p4aQyy+/XC1atJAk/eMf/1BFRYXS0tICWTZqyfNe7ty5s3epXenE4gJVVVVasGCBBg0a5O2/JM2dO1cul0uDBw8mYAJhgk9vNHhut1uJiYmaMmWKTNPUjBkztHLlSklSRESE94ZW7du3V2JiovcAB8Glrn02Wf0oKHlCo2dlK8/KdX379tUDDzyg9PR03Xrrrfr+++81b948TZkyhYPSIBQRcfoIb8+JhOjoaO9jM2fO1PTp05WYmGhleQACjACCBs9zn4AWLVpoyZIlcrlcmj59uubNmyfpxFwBSdq9e7eSkpK8BzQILnXts2e5TgQ3z6IR0s8h5MILL9SwYcM0e/Zsvf766ywsECKcTqcqKiq8N4OdMWOG5s+fr2XLljFUFggzhslpRDQgnhVwJJ02EdXz3KFDhzRx4kTl5+crPT1dPXr00A8//KC8vDy98cYbfJAFAfocHnz1+VQnPz9hwgRt2LBBb7zxRo2hOmh4attjt9utoqIiDR06VNOmTdPWrVs1e/ZsVrsCwhRzQNCgeD68nnvuOUVFRSk9Pd07pMpzhjwhIUEDBgxQixYtdPDgQRUUFCg+Pl5TpkxRhw4dArwHqA36HB589flUnsemT5+u5cuXa+nSpfQ5CNS2x4ZhKDo6Wnl5eVq8eLE2bdqkpUuXKiMjIxBlAwgwluFFg1NUVKSFCxeqvLxcPXv2rHFGzW63y+12q0mTJho1apRGjRolqeZZOAQH+hwefPX5VHv27NGWLVuUk5PDMqxBpDY99oSSjIwMHTp0SPPmzVP79u0DUC2AhoArIGhQTNNUdHS0TNPUBx98oIyMDF1wwQU1XuM5s+ZZ7lESqyEFGfocHmrT55PFxsbqqquuUqtWrSysEuejtj32LDrQtWtXjRw5knu5AGGOT3ME1KkTiT0Hmv369VN5ebk+//xzSTrjxHJWugoe9Dk8nE+fpRM3rIuLi/NvkTgv59Njz1VNzxLLAMIXAQQB5RlOs3fv3hrLqnbt2lU33HCD5s2bp/3793PmO8jR5/BAn0Pf+fSYvgPwYAgWAu6ll17S+PHjdfjwYRmGobZt20qSkpOTtW7dOkVEROjSSy+tMRQHwYc+hwf6HProMYDzRQCB5U5dIaVFixZKTk7W+vXr9eabbyo/P19NmjRRRkaG9u7dq9WrV2v06NGy2+18oAUR+hwe6HPoo8cA6hsBBJY6eRWjvXv36sCBA2rZsqUuu+wy9evXT23bttXy5cv14YcfavPmzbruuuv0zjvvyOVyqXv37nyQBQn6HB7oc+ijxwD8gRsRwjInf5A99thj2rx5s/bs2aPmzZtr7NixGjFihJKTk1VUVKTVq1dr+fLl2rNnj0pKStS/f3/NmDFDUVFRAd4LnA19Dg/0OfTRYwD+whUQWMYzAXH8+PHauXOnHnjgAQ0fPlxFRUVaunSpSkpKdNFFF6l58+bq0qWLbrjhBiUkJCgmJkYTJkxQ8+bNA7wHqA36HB7oc+ijxwD8xgT8rLq62vv/d9991xwyZIi5e/fuGq956qmnzC5dupgvvviiWVZWZrpcLu9zFRUVltWKc0efwwN9Dn30GIC/sSYe/MLpdOrVV19VYWGhbDabd034AwcOyDRN742qqqqqJElPPPGEhgwZopycHJWUlHgnL0pSZGRkYHYCZ0WfwwN9Dn30GICVCCDwi3/84x+aP3++5s+fr2PHjslms3k/nBwOh3bv3i3pxI3HKisrJUl//etfVVxcrA0bNkjiBnTBgD6HB/oc+ugxACsxBwR+kZmZqaKiIq1bt05Hjx7VxRdfrJiYGMXFxWnx4sVyOBy65JJLFBcX5z1zdvjwYa1bt06jRo1SWlpaoHcBtUCfwwN9Dn30GICVCCCod9XV1bLZbLr88stVUFCg9evX68iRI+rUqZNat26tpk2basGCBSoqKtKFF16opKQkGYah119/Xbt379att96quLi4QO8GzoI+hwf6HProMQCrRQS6AIQWt9stu92uqqoqNWrUSBMnTpQkrVu3TpJ011136eabb5bL5dKUKVO0detWNW/eXHFxcfr000+1ePFipaamBnIXUAv0OTzQ59BHjwEEAldAcN6cTqfWrl0ru92u+Ph42e1279rxktSnTx/t379f69at048//qjOnTurV69euvzyy3X06FFVVVXpggsu0JNPPqkOHToEcE/gC30OD/Q59NFjAIHGjQhxXiorKzV27Fh9+eWXioyMVI8ePZSSkqKsrCx17dpVsbGx3kvzM2bM0OrVq9W3b1/96U9/UkpKiioqKhQVFVXjhldoeOhzeKDPoY8eA2gIuAKC81JaWqqvv/5aFRUVSklJUf/+/fXll19q9erVmj9/vjZt2qTvvvtOpmlq6NChOnTokHbu3KkDBw7o4osvVnx8vKQTq6ewgkrDRZ/DA30OffQYQENAAMF5ady4sTIzM3X48GEdO3ZMrVq10vPPP6/rr79eLVu2VHR0tHJzc7Vq1SotW7ZM5eXl2rZtm7Zs2aJGjRqpZ8+efJAFAfocHuhz6KPHABoChmChXhw5ckRz587VJ598oqFDh2rChAne5yoqKlRUVKT3339fhYWFeu+992QYhubOnat27doFsGrUFX0OD/Q59NFjAIFEAEG9OXr0qObMmaONGzcqKytL999/vySdNla4sLBQERERSkxMDFSpOA/0OTzQ59BHjwEECkOwUG9iY2PVqVMnHT58WOvXr9fhw4fVu3dv2Ww2uVwu2Ww2SVJMTIwaN24c4GpxruhzeKDPoY8eAwgUAgjqla8PNLfbzbjhEEGfwwN9Dn30GEAgEEBQ707+QNuwYYPy8/N15ZVX8kEWYuhzeKDPoY8eA7Aad0KHX6SkpOiuu+6Sw+HQV199pWPHjikpKSnQZaGe0efwQJ9DHz0GYCUmocOvCgsLZZqmkpOTA10K/Ig+hwf6HProMQArEEAAAAAAWMYW6AIAAAAAhA8CCAAAAADLEEAAAAAAWIYAAgAAAMAyBBAAAAAAliGAAAAAALAMAQQAAACAZQggAAAAACxDAAEAAABgGQIIAAAAAMsQQAAAAABYhgACAAAAwDIEEAAAAACWIYAAAAAAsAwBBAAAAIBlCCAAAAAALEMAAQAAAGAZAggAAAAAyxBAAAAAAFiGAAIAAADAMgQQAAAAAJYhgAAAAACwDAEEAAAAgGUIIAAAAAAsQwABAAAAYBkCCAAAAADLEEAAAAAAWIYAAgAAAMAyBBAAAAAAliGAAAAAALAMAQQAAACAZQggAAAAACxDAAEAAABgGQIIAAAAAMsQQAAAAABYhgACAAAAwDIEEAAAAACWIYAAAAAAsAwBBAAAAICg6gR5AAAAZ0lEQVRlCCAAAAAALEMAAQAAAGAZAggAAAAAyxBAAAAAAFiGAAIAAADAMgQQAAAAAJYhgAAAAACwDAEEAAAAgGUIIAAAAAAsQwABAAAAYBkCCAAAAADLEEAAAAAAWIYAAgAAAMAy/w+JvaBFnUs3oAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%ls -l testsave.png\n",
    "IPydisplay.Image(filename='testsave.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### We can use io to save the plot as a byte buffer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture \n",
    "## cell magic function `%%capture` blocks jupyter notebook output, \n",
    "## which is not needed here, since the plot is saved to the io-buffer anyway:\n",
    "buf = io.BytesIO()\n",
    "mpf.plot(df,type='candle',volume=True,savefig=buf)\n",
    "buf.seek(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We can use Ipython.display.Image to display the image in the ioBytes buffer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPydisplay.Image(buf.read())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "# Specifying image attributes with `savefig`\n",
    "\n",
    "We can control various attributes of the saved figure/plot by passing a `dict`ionary as the value for the `savefig` keyword.\n",
    "\n",
    "The dictionary **must** contain the keyword `fname` for the file name to be saved, **and *may* contain any of the other keywords accepted by [`matplotlib.pyplot.savefig()`](https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.savefig.html)**  (for example: dpi, facecolor, edgecolor, orientation, format, metadata, quality)\n",
    "\n",
    "When creating the `dict`, I recommend using the `dict()` constructor so that that `keyword=` syntax may be used and thereby more closely resemble calling:\n",
    "**[`matplotlib.pyplot.savefig()`](https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.savefig.html)**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "## %%capture blocks jupyter notebook output; plots are saved to files anyway:\n",
    "save = dict(fname='tsave30.jpg',dpi=30,pad_inches=0.25)\n",
    "mpf.plot(df,volume=True,savefig=save)\n",
    "mpf.plot(df,volume=True,savefig=dict(fname='tsave100.jpg',dpi=100,pad_inches=0.25))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-rw-rw-rw- 1 dino dino 11016 Jun  7 17:52 \u001b[0m\u001b[01;35mtsave30.jpg\u001b[0m\n",
      "-rw-rw-rw- 1 dino dino 54172 Jun  7 17:52 \u001b[0m\u001b[01;35mtsave100.jpg\u001b[0m\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%ls -l tsave30.jpg\n",
    "%ls -l tsave100.jpg\n",
    "IPydisplay.Image(filename='tsave30.jpg')\n",
    "IPydisplay.Image(filename='tsave100.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Specifying image attributes (via `savefig`) dict also works with an io.BytesIO buffer:\n",
    "- Just assign the io-buffer to the `fname` key in the savefig dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "buf30dpi  = io.BytesIO()\n",
    "buf100dpi = io.BytesIO()\n",
    "mpf.plot(df,volume=True,savefig=dict(fname=buf30dpi ,dpi=30 ,pad_inches=0.25))\n",
    "mpf.plot(df,volume=True,savefig=dict(fname=buf100dpi,dpi=100,pad_inches=0.25))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use Ipython.display.Image to display the buffer contents:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_ = buf30dpi.seek(0)\n",
    "IPydisplay.Image(buf30dpi.read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_ = buf100dpi.seek(0)\n",
    "IPydisplay.Image(buf100dpi.read())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## A note about `jpeg` files:\n",
    "\n",
    "**[`matplotlib.pyplot.savefig()`](https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.savefig.html)** uses the Python Image Library (PIL or pillow) to save jpeg files.  \n",
    "Thus you must have pillow installed (`pip install pillow`) to save jpeg images.  \n",
    "\n",
    "**Version 3.1.2 of matplotlib has an incompatibility with version 7.x.x of pillow** (which was released to PyPI on On January 2, 2020.  This incompatibility was **[fixed here](https://github.com/matplotlib/matplotlib/pull/16086/commits)** however (as of this writting) the fixed version of matplotlib was not yet on PyPI (to be pip installable), *but it may be by the time you read this*.\n",
    "\n",
    "If you encounter an exception when trying to save a jpeg file, that says \"format 'jpg' is not supported\" check that you have pillow installed.  If you do have pillow 7.x.x installed, and you are encountering this exception, the permanent fix for the problem is to upgrade to the new version of matplotlib `pip install --upgrade matplotlib`.  (This should work if the new version of matplotlib is on Pypi at the time).\n",
    "\n",
    "If upgrading matplotlib doesn't work, you can immediately fix this problem in one of the following temporary solutions:\n",
    "\n",
    "- install the previous version of pillow: **`pip install Pillow==6.2.2`**\n",
    "- edit your installed version of `.../site-packages/matplotlib/backend_bases.py` and apply **[this one-line fix](https://github.com/matplotlib/matplotlib/pull/16086/files).**\n",
    "\n",
    "\n",
    "---"
   ]
  }
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